How
to Find a Missing H-Bomb
When a routine Cold War operation
went terribly wrong, two planes and seven men died, a village got contaminated
and a hydrogen bomb disappeared.
The search and cleanup required
1,400 American and Spanish personnel, a dozen aircraft, 27 U.S. Navy ships and
five submarines. It cost more than $120 million and a lot of diplomatic
capital.
And it made an obscure 18th-century
mathematical theorem a practical solution to finding veritable needles in
haystacks.
Around 10 a.m. on Jan. 17, 1966, two
B-52Gs of the 31st Bomb Squadron based out of North Carolina approached two
KC-135 tankers over the Spanish coast southwest of Cartagena.
The bombers each carried four
1.5-megaton B-28 hydrogen bombs as part of Operation Chrome Dome, a U.S.
deterrence mission that placed nuclear-armed bombers on the Soviet Union’s
doorsteps.
But when one B-52 approached its
tanker too fast, it received no warning and they collided at 31,000 feet. The
tanker’s boom tore a longeron flap off the bomber, and the B-52’s left wing
broke off. Three of the B-52’s seven crew members died in the crash.
The resulting breakup destroyed the tanker in a fireball of blazing jet fuel. All
four crew on board the tanker died. One hundred tons of flaming wreckage fell
upon the arid hamlet of Palomares, near the Mediterranean Sea.
Three of the four H-bombs aboard the
bomber fell there, too.
Within 24 hours, a U.S. Air Force
disaster team arrived from Torrejon Air Base near Madrid. Specialists from the
Los Alamos and Sandia weapons labs — and Air Force logistics units — descended
on the tiny rural town.
The search teams found the three
H-bombs within a day. One landed on a soft slope, its casing relatively intact.
The high explosives within the other two bombs detonated on impact, blowing
100-foot-wide craters in the dry soil and scattering plutonium, uranium and
tritium across the landscape.
The region’s long history of human
habitation complicated the land search. Almeria, the province where Palomares
sits, hosted a mining industry for more than 5,000 years. Countless mine
shafts, diggings and depressions pepper its dry landscape made famous by the
spaghetti westerns filmed there.
For several weeks, American troops
and Spanish police searched the area with radiation detectors, but failed to
find the fourth bomb. Eyewitness accounts claimed something on a parachute fell
into the sea.
The U.S. Navy moved a fleet tug to
the Spanish coast within eight hours of the accident. Five days after the
crash, the Air Force officially asked the Navy for help finding the missing
bomb. The Navy tapped one of its resident wizards for the task.
Wizard at work
John PiƱa Craven looked the part and
delivered the goods. Handsome, brilliant and accomplished, he studied
engineering and hydraulics at the California Institute of Technology and the
University of Iowa after his decorated service in World War II. Upon his return
to Navy service as a civilian scientist, he fixed a structural problem with the
nuclear-powered USS Nautilus and oversaw the Polaris sub-launched ballistic
missile program.
After the loss of submarine USS Thresher
in 1963, the Navy put Craven — now head of its Special Projects Office — in
charge of deep-sea rescue and salvage research. Three years later he had to
find the missing H-bomb … and quickly.
The Soviets would surely hunt for
the weapon, and the White House poured on the pressure. Pres. Lyndon Johnson
rejected the Navy’s assurances that the bomb was lost at sea forever. But
finding an object the size of a kayak in hundreds of square miles of
poorly-mapped sea bottom seemed close to impossible.
Palomares fisherman Francisco Simo
Orts noted where the parachuting object fell. But Navy experts dismissed his
account based on their own calculations of the bomb’s descent. After weeks of
fruitless undersea search by divers and sonar, Craven turned to the wizardly
world of mathematics. An obscure 250-year-old probability theory might work.
In an unpublished manuscript dating
to the 1760s, the English minister and statistician Thomas Bayes first proposed
the idea that bears his name. Bayes’ Theorem
mathematically describes how “by updating our initial beliefs with objective
new information, we can get a new and improved belief,”
according to science writer Sharon Bertsch McGrayne.
Craven realized Bayes’ Theorem could
improve the search team’s beliefs about where the missing bomb was. He first
ordered up a detailed map of the sea bottom off Palomares, then asked his
salvage and search experts to place bets on every possible event that could
have occurred during the bomb’s fall.
The bomb had two parachutes — what
were the odds that one opened? That both opened? That neither did? What were
the odds it fell straight into the water? What if it fell at such-and-such an
angle? Craven’s team explored hundreds of possibilities and calculated the
probabilities of each one.
Quantified belief
The calculated probabilities put the
bomb’s location in many different places off shore. Craven’s mathematicians
then calculated the likelihood of each proposed location based on the initial
round of bets and assigned probabilities to each location.
Essentially, the mathematicians
quantified their beliefs about where they thought the bomb went, based on the
scenarios they worked out. They finally mapped their beliefs onto the ocean
floor.
This “probability map” indicated the
most promising places to search for the lost bomb — but those places lay far
from where conventional search techniques said it was. The scientists’ bets
indicated the bomb was nowhere near the planes’ wreckage.
The Navy sent down the research subs
Alvin and Aluminaut to check the locations, but their searches turned up empty.
Craven’s wizards recalculated their odds based on the new search information. More
time passed.
After the White House received
Craven’s latest report, Johnson demanded a group of “real experts” work the
problem. But after reviewing Craven’s report, an expert panel from the
Massachusetts Institute of Technology and Cornell University agreed that
Craven’s weird method was the best available.
Meanwhile, Orts’ testimony received
a fresh look. Invited aboard the minesweeper USS Pinnacle, the fisherman
directed the ship to a spot where sonar picked up a promising signal. It lay
right on top of a high-probability patch on Craven’s latest recalculated map.
Descending to the seafloor 2,550
feet below, the Alvin found a parachute covering a cylindrical metal object.
The submarine attempted to grab it, but the attempt failed and the bomb slid away
into the deep.
Three weeks later, an early-model
remotely-operated submersible relocated the bomb but entangled itself on the
parachute. Risking everything on one operation, controllers brought the
submarine and its entangled bomb up to the surface together.
Two years after the Palomares
incident, Craven’s team applied Bayesian search techniques to once again hunt
for a lost object — the nuclear submarine USS Scorpion. The sub sank with all
hands off the Azores on or around May 21, 1968.
Once again the mathematical wizardry
confirmed a kind of “ear-witness” information — this time in the form of
underwater hydrophone recordings of the sub’s breakup as it fell below crush
depth.
Useful magic
Craven’s unorthodox technique proved
itself again and again during the following decades. In 2009, Air France Flight
447 traveling from Rio de Janeiro to Paris crashed into the mid-Atlantic and
sank more than two miles under the surface. French investigators searched for
two years without finding the wreckage.
Finally, the investigators turned to
the American consulting firm Metron. The firm applied Craven’s method
to the entire search effort to date and assigned probabilities to events,
scenarios and locations. Metron analysts took data about flight dynamics,
aircraft performance, local winds and currents … and assigned odds to
them. Then they repeated the procedure with data from previous searches for
AF447 and used Bayes’ Theorem to update their beliefs about where the crash
occurred.
Sure enough, the new odds pointed to
a location the investigators had previously overlooked. A week later, search
teams recovered the plane’s black boxes from two and a half miles down. But
Bayesian search techniques require at least some good data to work with.
For the ongoing hunt for missing
Malaysian Airlines Flight 370, there’s little to work with. Almost anything is believable. That is, almost
anything — you can’t really place bets on alien abductions or black holes.
With no witnesses, no debris and a
search area in the least understood part of the world’s ocean, there’s little
even mathematical wizards can do. But even then, few thought 50 years ago that
the lost bomb of Palomares would ever turn up.
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